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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/25797

Title: Estimating Missing Values in Incomplete Additive Fuzzy Preference Relations
Authors: Hsuan-Shih Lee;Ming-Tao Chou;Hsin-Hsiung Fang;Wei-Kuo Tseng;Chen-Huei Yeh
Contributors: NTOU:Department of Merchant Marine
國立臺灣海洋大學:商船學系
Keywords: Estimation;Incomplete fuzzy preference relation;Transitivity
Date: 2007
Issue Date: 2011-10-20T08:32:29Z
Publisher: Lecture Notes in Computer Science
Abstract: Abstract:In some occasions, decision makers may have to deal with the problems in which only partial information is available. As a result, decision makers embody their preferences as incomplete fuzzy preference relations. In this paper, we propose an iterative procedure to estimate the missing values of the incomplete fuzzy preference relations that are assumed to be additive. The procedure is based on additive transitivity property. Measures of consistency and completeness of an incomplete fuzzy preference are also developed to assist decision makers to identify the quality of their decisions.
Relation: 4693, pp.1307-1314
URI: http://ntour.ntou.edu.tw/handle/987654321/25797
Appears in Collections:[商船學系] 期刊論文

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